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Урок 1. 00:22:041. Introduction to Artificial Intelligence
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Урок 2. 00:20:412. Demo Introduction to Artificial Intelligence
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Урок 3. 00:25:113. Demo Model Evaluation
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Урок 4. 00:24:314. Demo Perceptron
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Урок 5. 00:07:1301. Overview of Data Science
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Урок 6. 00:06:0502. Overview of Data Analytics
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Урок 7. 00:46:4903. Demo Overview of Data Analytics
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Урок 8. 00:11:0104. Statistical Analysis and Business
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Урок 9. 00:41:4905. Demo Statistical Analysis and Business
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Урок 10. 00:02:1506. Python Environment Setup and Essentials
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Урок 11. 00:12:0107. Mathematical Computing with Python
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Урок 12. 00:22:1608. Demo Mathematical Computing with Python
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Урок 13. 00:09:1809. Scientific Computing with Python
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Урок 14. 00:18:1410. Demo Scientific Computing with Python
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Урок 15. 00:04:2511. Data Manipulation with Pandas
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Урок 16. 00:26:3412. Demo Data Manipulation with Pandas
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Урок 17. 00:07:4513. Machine Learning with Scikit-Learn
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Урок 18. 00:02:5214. Natural Language Procssing with Scikit Learn
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Урок 19. 00:04:1915. Data Visualization in Python using Matplotlib
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Урок 20. 00:05:3216. Web Scraping with BeautifulSoup
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Урок 21. 00:05:3217. Python Integration with Hadoop MapReduce and Spark
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Урок 22. 00:09:4001. Overview of Machine Learning
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Урок 23. 00:11:3902. Data Preprocessing
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Урок 24. 00:45:5303. Demo Data Preprocessing
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Урок 25. 00:07:1504. Supervised Learning
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Урок 26. 00:26:1105. Demo Regression
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Урок 27. 00:02:3406. Feature Engineering
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Урок 28. 00:23:1607. Demo Feature Engineering
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Урок 29. 00:09:4608. Supervised Learning Classification
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Урок 30. 00:43:3109. Demo Classification
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Урок 31. 00:03:3010. Unsupervised Learning
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Урок 32. 00:02:4511. Time Series Modeling
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Урок 33. 00:06:3312. Ensemble Learning
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Урок 34. 00:07:1413. Recommender Systems
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Урок 35. 00:10:1614. Text Mining
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Урок 36. 00:35:591. Deep Learning with Keras and TensorFlow
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Урок 37. 00:20:122. Demo Introduction to Deep Learning
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Урок 38. 00:13:313. Convolution Network
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Урок 39. 00:28:334. Demo Convolutional Network
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Урок 40. 00:16:275. Recurrent Neural Network
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Урок 41. 00:38:036. Demo Recurrent Neural Network
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Урок 42. 00:02:147. Restricted Boltzmann Machine (RBM)
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Урок 43. 00:02:048. Autoencoders
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